An extracted social network mining

Mahyuddin K M Nasution, Opim Salim Sitompul, Emerson Pascawira Sinulingga, Shahrul Azman Mohd Noah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

Future of data mining is the social network mining, especially in connection with the web pages, will incorporate the network timeline that are generated with social network extraction. This approach we use to deal with dynamic and process of evolution in networks. Although there is an increasing interest about the social network analysis, but a little of them has a significant impact to social substructures mining. Therefore this paper proposes the mining of social network based on unit analysis in social network analysis to build a network: vertex and edge. In study we used multiple regression to determine the relations of resources of networks, but we explore naturally formal relation of vertices and edges like leadership of an author, and then we explained in experiments. So there is the role of each actor in the social networks.

Original languageEnglish
Title of host publicationProceedings of 2016 SAI Computing Conference, SAI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1168-1172
Number of pages5
ISBN (Electronic)9781467384605
DOIs
Publication statusPublished - 29 Aug 2016
Event2016 SAI Computing Conference, SAI 2016 - London, United Kingdom
Duration: 13 Jul 201615 Jul 2016

Other

Other2016 SAI Computing Conference, SAI 2016
CountryUnited Kingdom
CityLondon
Period13/7/1615/7/16

Fingerprint

Electric network analysis
Social Networks
Mining
Social Network Analysis
Data mining
Websites
Leadership
Multiple Regression
Substructure
Data Mining
Experiments
Resources
Unit
Vertex of a graph
Experiment

Keywords

  • association rule
  • centrality
  • leadership
  • level of independence
  • multiple regression
  • role
  • timeline
  • total effect

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Signal Processing
  • Modelling and Simulation

Cite this

Nasution, M. K. M., Sitompul, O. S., Sinulingga, E. P., & Mohd Noah, S. A. (2016). An extracted social network mining. In Proceedings of 2016 SAI Computing Conference, SAI 2016 (pp. 1168-1172). [7556125] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAI.2016.7556125

An extracted social network mining. / Nasution, Mahyuddin K M; Sitompul, Opim Salim; Sinulingga, Emerson Pascawira; Mohd Noah, Shahrul Azman.

Proceedings of 2016 SAI Computing Conference, SAI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1168-1172 7556125.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nasution, MKM, Sitompul, OS, Sinulingga, EP & Mohd Noah, SA 2016, An extracted social network mining. in Proceedings of 2016 SAI Computing Conference, SAI 2016., 7556125, Institute of Electrical and Electronics Engineers Inc., pp. 1168-1172, 2016 SAI Computing Conference, SAI 2016, London, United Kingdom, 13/7/16. https://doi.org/10.1109/SAI.2016.7556125
Nasution MKM, Sitompul OS, Sinulingga EP, Mohd Noah SA. An extracted social network mining. In Proceedings of 2016 SAI Computing Conference, SAI 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1168-1172. 7556125 https://doi.org/10.1109/SAI.2016.7556125
Nasution, Mahyuddin K M ; Sitompul, Opim Salim ; Sinulingga, Emerson Pascawira ; Mohd Noah, Shahrul Azman. / An extracted social network mining. Proceedings of 2016 SAI Computing Conference, SAI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1168-1172
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